NDLI: A novel SPSA kernel wavelet neural network for model-free PID controller

Content Provider	IEEE Xplore Digital Library
Author	Yuxin Zhao Xue Du Genglei Xia Renfeng Jia
Copyright Year	2015
Description	Author affiliation: Coll. of Nucl. Sci. & Technol., Harbin Eng. Univ., Harbin, China (Genglei Xia) \|\| Coll. of Autom., Harbin Eng. Univ., Harbin, China (Yuxin Zhao; Xue Du; Renfeng Jia)
Abstract	Model-free PID control tuning methods have been widely reported for the case with the time-varying uncertain systems. A model-free control system is introduced in this paper with PID controller. This control design could be considered as a contribution to kernel wavelet neural network PID controllers in model-free system with a straightforward tuning by the simultaneous perturbation stochastic approximation algorithm. It is particularly well suited to problems involving the measurement data without prior inner structure knowledge of the unknown system. On the other hand, neural network activation functions are bounded which cause the outputs of neural network to be limited. Therefore, the T-S Fuzzy control method on basis of kernel wavelet neural network (KWNN) is introduced to improve the control parameter tuning adaptivity in terms of boundedness of the KWNN excitation function. Finally, simulation results are presented to exhibit the effectiveness of the proposed IPWR control system.
Sponsorship	IEEE
Starting Page	001960
Ending Page	001965
File Size	299669
Page Count	6
File Format	PDF
e-ISBN	9781479917624
DOI	10.1109/IECON.2015.7392387
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-09
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Kernel Algorithm design and analysis Tuning Approximation algorithms Mathematical model Control systems SPSA algorithm KWNN algorithm PID control T-S fuzzy
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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